We are please to announce that TACC will be participating as a satellite site for the the XSEDE HPC Workshop, Big Data on October 1st and 2nd, 2019.

Agenda

Tuesday, October 1
10:00 AM CT Welcome
10:25 AM CT Intro to Big Data
11:00 AM CT Hadoop
11:30 AM CT Intro to Spark
12:00 PM CT Lunch break
1:00 PM CT Spark
3:45 PM CT Bridges: A Big Data Platform
4:00 PM CT Adjourn

Wednesday, October 2
10:00 AM CT Machine Learning: Recommender System with Spark
12:00 PM CT Lunch break
1:00 PM CT Deep Learning with Tensorflow
4:00 PM CT Adjourn

If you are in the Austin area and are able to attend one or both days of the event here at TACC, please visit the following address for more information and to register:

TACC’s Ranch archival system will be down for maintenance on September 24th from 8 am to 5 pm CST. We will be performing firmware updates on our disk systems.

We are pleased to announce the C++ for C Programmers Training being held on September 13th, 2019 from 9am to 5pm CT.

C++ can be considered as a superset of C, but this view often leads to un-idiomatic C++ programming. In this short course we both show the new mechanisms of C++, and we explain what C mechanisms, while available, should no longer be used.

The first half of this course covers mostly object-oriented programming and parameter passing with references; the second half covers advanced topics such as smart pointers, exceptions, iterators, lambdas, templates. It will be pointed which features are specific to the C++14 and C++17 standards.

This training will be available to both in-person and remote attendees via webcast. Local participants are strongly encouraged to attend in-person.

To register and for more information please visit: https://learn.tacc.utexas.edu/

Please contact me at jasona@tacc.utexas.edu if you have any questions.

Last chance to register (deadline Aug 30) and submit an abstract for presentation (deadline Aug 16) at the TACC Symposium for Texas Researchers (TACCSTER) being held on September 26-27, 2019 at the Texas Advanced Computing Center in Austin, Texas.

TACCSTER is a meeting of scientists, engineers and scholars from across the state of Texas who use, and would like to use, the Texas Advanced Computing Center (TACC) to advance their research goals. This meeting will be an opportunity for you to:

     * Showcase your ongoing research involving TACC resources
     * Attend and participate in Birds-of-a-Feather panel discussions
     * Learn new and useful computing skills from a variety of tutorials
     * Network with other Texas-based researchers
     * Hear information about the latest TACC systems and services

To register and for more information please visit: https://learn.tacc.utexas.edu/

Please contact taccster@tacc.utexas.edu if you have any questions.

We are pleased to announce the second TACC Symposium for Texas Researchers (TACCSTER) being held on September 26-27, 2019.

TACCSTER is a meeting of scientists, engineers and scholars from across the state of Texas who use, and would like to use, the Texas Advanced Computing Center (TACC) to advance their research goals. This meeting will be an opportunity for you to showcase your ongoing research involving TACC resources, attend and participate in Birds-of-a-Feather panel discussions, learn new and useful computing skills from a variety of tutorials, network with other Texas-based researchers, and hear information about the latest TACC systems and services.

The meeting will be held on September 26-27, 2019 at the Texas Advanced Computing Center in Austin, Texas.

To register and for more information please visit: https://learn.tacc.utexas.edu/

Please contact taccster@tacc.utexas.edu if you have any questions.

Are you in need of highly parallel computing at an unprecedented scale? TACC is currently deploying NSF’s new flagship system Frontera, which will serve the ever growing needs of the scientific community. We invite you to join us at TACC for a full day of presentations and discussions focused on Frontera’s outstanding capabilities. We will introduce the system and its new and innovative components, and will discuss how to optimally compile, launch, and execute scientific applications at large scale. Much emphasis will be put on the description of available MPI stacks and on tuning MPI and hybrid (MPI+OpenMP) applications via environment variables. The schedule will allow for many opportunities to interact with TACC staff and to discuss general and/or user specific topics. This event is open to the large early-user community that is already using Frontera, and to any current or future user of TACC resources.

This training will be available to both in-person and remote attendees via webcast. Local participants are strongly encouraged to attend in-person.

To register and for more information please visit:
https://learn.tacc.utexas.edu/

If you have any questions please contact me at jasona@tacc.utexas.edu

In this class, our TACC Vis Staff will provide and overview on software data visualization as well as training on the use of the Paraview software package to visualize data sets on Stampede2 and Lonestar5.

This course will be available to both in-person and remote attendees via webcast. To register and for more information please visit: https://learn.tacc.utexas.edu/

If you have any questions please contact me at jasona@tacc.utexas.edu

This is the first session in a two part training series that will cover an introduction to the Machine Learning and Big Data processing platforms, programming models as well as libraries and tools that are specifically designed for data-driven analysis.

Each session will be three and a half hours long with approximately three hours of lecture and a half hour of hands-on practice. More details on the specific content covered during each session will be available closer to the session start date.

Local participants are strongly encouraged to attend in-person. To register and for more information please visit: https://learn.tacc.utexas.edu/

If you have any questions please contact me at jasona@tacc.utexas.edu

This is the second session in a two part training series that will cover an introduction to the Machine Learning and Big Data processing platforms, programming models as well as libraries and tools that are specifically designed for data-driven analysis.

Each session will be three and a half hours long with approximately three hours of lecture and a half hour of hands-on practice. More details on the specific content covered during each session will be available closer to the session start date.

Local participants are strongly encouraged to attend in-person. To register and for more information please visit: https://learn.tacc.utexas.edu/

If you have any questions please contact me at jasona@tacc.utexas.edu